Search Results for "fb2k-component" - Page 5

vue-tetris is a browser-based implementation of the classic Tetris game built using the Vue.js framework, showcasing both game development concepts and modern frontend engineering practices. The project demonstrates how reactive state management and component-based architecture can be used to create interactive and dynamic applications. It includes core gameplay mechanics such as piece rotation, collision detection, line clearing, and score tracking, all implemented within a clean and modular codebase. The design emphasizes performance and responsiveness, ensuring smooth gameplay even within a web environment. ...

This is a matlab implementation of the GI-ICA algorithm for ICA in the presence of an additive Gaussian noise. The algorithm is discussed in the paper "Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis" by James Voss, Luis Rademacher, and Mikhail Belkin.

RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.

The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.

fast Connected Component Labeling Algorithm - java application - Extracting Objects From image

...IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI: http://dx.doi.org/10.5334/jors.ae

...In spite of the widespread use of this kind of barcode, applications for visually impaired people and robots are not common because existing decoders assume that the symbol is properly framed during image acquisition. This project implements a two-stage component-based approach to perform accurate detection of QR code symbols in arbitrarily acquired images. In the first stage a cascade classifier to detect parts of the symbol is trained using the rapid object detection framework proposed by Viola-Jones. In the second stage, detected patterns are aggregated in order to evaluate if they are spatially arranged in a way that is geometrically consistent with the components of a QR code symbol. ...

...Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.

Pandora is an artificial intelligent web based bot written in Java. Pandora is a component based AI architecture including, database memory, XML, voice, voice rec, chat, IRC, HTTP, Wiktionary, Freebase, consciousness, language, GUI, applet, web, jsp, Android

Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.

nu-BDI is an extension of the Jason agent interpreter aimed at processing norms using constraints on the agent's instantiated plans. The core agent reasoning cycle now includes a component for processing norms and enforcing norm constraints.

Orca is a component-based robotic framework. Its aim is to allow creation of complex robotic systems, from single vehicle architectures to distributed sensor networks, by easily connecting new components to reusable components from the Orca repository.

Attimas-os is an open Source project for artificial inteligence develpment tools This is a component-based toolkit enabling rapid development of FIPA compliant agents.It must supports the majority of the FIPA Experimental specifications

PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.

Fuzzy Logic Library for Microsoft .Net (fuzzynet). The library is an easy to use component that implements fuzzy inference system (both, Mamdani and Sugeno methods supported). The library is written in C#. Samples and API documentation are provided. The library was used in http://bettingstudio.com algorithms.

...It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component

Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.

The Citizen Privacy Service is an asynchronous component using artificial intelligence capabilities including DL decidability and first order logic provenance that provide policy decision and policy enforcement points based on the US Privacy Act of 1974.

The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.

TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.

Development of an Inteligent Agent Creation and Testing Framework (IACTF) for use in AI Inteligent Agents scenarios. Also development of a centralized server component for IA management.

FIPA-OS is a component-based toolkit enabling rapid development of FIPA compliant agents. FIPA-OS supports the majority of the FIPA Experimental specifications (<a href="http://www.fipa.org">www.fipa.org</a>) and is being continuously improved.